PROSELF: Semi-automated Self-Tracking Systems to Improve Personal Productivity
Oct 1, 2022
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1 min read
Funding: SNF, grant 197242 · October 2022 – September 2025
PROSELF aims at investigating how emerging mobile and wearable technology can help provide an understanding of what makes people feel (and be) productive, and subsequently, to assist users with managing their productivity on a daily basis.
The project addresses concerns about workplace monitoring by focusing on knowledge workers’ empowerment rather than employer control. While existing “productivity apps” help monitor work activities, PROSELF advocates for systems that consider environmental, behavioral, and psychological factors in one’s feeling of (and indeed, observed) performance at work.
Objectives
- Provide novel methods to enable self-monitoring at work in a semi-automated manner
- Develop a sound modeling framework to identify proxies of specific performance indicators in users’ context data
- Devise an adequate architecture to support the definition and execution of anticipatory decisions
- Critically evaluate these approaches in-situ in a range of field studies
